A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition H Yin, Z Ou, S Huang, A Meng Energy 189, 116316, 2019 | 109 | 2019 |
A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization A Meng, S Chen, Z Ou, W Ding, H Zhou, J Fan, H Yin Energy 238, 121795, 2022 | 89 | 2022 |
A novel transfer learning approach for wind power prediction based on a serio-parallel deep learning architecture H Yin, Z Ou, J Fu, Y Cai, S Chen, A Meng Energy 234, 121271, 2021 | 86 | 2021 |
A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine A Meng, Z Zhu, W Deng, Z Ou, S Lin, C Wang, X Xu, X Wang, H Yin, J Luo Energy 260, 124957, 2022 | 51 | 2022 |
A novel asexual-reproduction evolutionary neural network for wind power prediction based on generative adversarial networks H Yin, Z Ou, Z Zhu, X Xu, J Fan, A Meng Energy Conversion and Management 247, 114714, 2021 | 46 | 2021 |
A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network A Meng, S Chen, Z Ou, J Xiao, J Zhang, S Chen, Z Zhang, R Liang, ... Energy 261, 125276, 2022 | 32 | 2022 |
A Fractional-Order Element (FOE)-based approach to wireless power transmission for frequency reduction and output power quality improvement G Zhang, Z Ou, L Qu Electronics 8 (9), 1029, 2019 | 11 | 2019 |
Real-time Brain-controlled Avatar System Based on SSVEP and Motor Imagery M LIN, Z OU Computer and Modernization, 36, 2018 | | 2018 |